RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers

Author:

Miao ZhichaoORCID,Adamiak Ryszard W.ORCID,Antczak MaciejORCID,Boniecki Michał J.ORCID,Bujnicki JanuszORCID,Chen Shi-Jie,Cheng Clarence YuORCID,Cheng Yi,Chou Fang-Chieh,Das RhijuORCID,Dokholyan Nikolay V.ORCID,Ding Feng,Geniesse CalebORCID,Jiang Yangwei,Joshi AsthaORCID,Krokhotin Andrey,Magnus MarcinORCID,Mailhot Olivier,Major FrancoisORCID,Mann Thomas H.,Piątkowski Paweł,Pluta RadoslawORCID,Popenda MariuszORCID,Sarzynska JoannaORCID,Sun Lizhen,Szachniuk MartaORCID,Tian Siqi,Wang Jian,Wang Jun,Watkins Andrew M.ORCID,Wiedemann JakubORCID,Xiao Yi,Xu Xiaojun,Yesselman Joseph D.,Zhang Dong,Zhang Yi,Zhang Zhenzhen,Zhao Chenhan,Zhao Peinan,Zhou Yuanzhe,Zok Tomasz,Żyła AdrianaORCID,Ren AimingORCID,Batey Robert T.ORCID,Golden Barbara L.ORCID,Huang LinORCID,Lilley David M.ORCID,Liu YijinORCID,Patel Dinshaw J.ORCID,Westhof Eric

Abstract

RNA-Puzzles is a collective endeavor dedicated to the advancement and improvement of RNA 3D structure prediction. With agreement from crystallographers, the RNA structures are predicted by various groups before the publication of the crystal structures. We now report the prediction of 3D structures for six RNA sequences: four nucleolytic ribozymes and two riboswitches. Systematic protocols for comparing models and crystal structures are described and analyzed. In these six puzzles, we discuss (i) the comparison between the automated web servers and human experts; (ii) the prediction of coaxial stacking; (iii) the prediction of structural details and ligand binding; (iv) the development of novel prediction methods; and (v) the potential improvements to be made. We show that correct prediction of coaxial stacking and tertiary contacts is essential for the prediction of RNA architecture, while ligand binding modes can only be predicted with low resolution and simultaneous prediction of RNA structure with accurate ligand binding still remains out of reach. All the predicted models are available for the future development of force field parameters and the improvement of comparison and assessment tools.

Funder

The Single Cell Gene Expression Atlas

Wellcome Trust

French National Program Investissement d'Avenir (Labex NetRNA) administered by the Agence National de la Recherche

NSFC

Polish National Science Center

NIH

Cancer Research UK program

Foundation for Polish Science

National Institutes for Health

National Center for Advancing Translational Sciences

Publisher

Cold Spring Harbor Laboratory

Subject

Molecular Biology

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